Samsung Galaxy Tab A7
Geekbench AI Score
227
Single Precision Score
222
Half Precision Score
247
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 19 2025 06:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 662 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Tab A7 |
| Model ID | samsung SM-T500 |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.7 IPS |
|
|
Image Classification (Q)
|
100% |
223
41.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
164
2.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
429
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
416
0.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
288
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.65 IPS |
|
|
Object Detection (HP)
|
100% |
85
6.74 IPS |
|
|
Object Detection (Q)
|
83% |
111
8.96 IPS |
|
|
Face Detection (SP)
|
100% |
248
2.95 IPS |
|
|
Face Detection (HP)
|
100% |
216
2.57 IPS |
|
|
Face Detection (Q)
|
95% |
317
3.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
295
2.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
288
2.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
286
2.62 IPS |
|
|
Style Transfer (SP)
|
89% |
705
0.92 IPS |
|
|
Style Transfer (HP)
|
89% |
882
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
1617
2.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
222
8.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
314
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.6 IPS |
|
|
Text Classification (HP)
|
100% |
144
192.6 IPS |
|
|
Text Classification (Q)
|
88% |
163
219.8 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.26 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (Q)
|
50% |
97
3.44 IPS |
